Andrew Kang highlights that by 2025, robotics will overcome key challenges in model architecture and data acquisition, paving the way for large-scale data collection.
Success rates above 99% in real-world applications through innovative reinforcement learning and advancements in memory tech will drastically improve data annotation and processing.
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